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María Teresa Sánchez NietoView profile

Professor

• Translation Studies
• Corpus Linguistics
• German-Spanish Translation
• +3 more

María Teresa Sánchez Nieto is a Professor in the Department of Spanish Language - Translation and Interpreting at the University of Valladolid's Faculty of Translation and Interpreting. With a career spanning over two decades since earning her Bachelor's Degree in German Philology in 1996, she has established herself as a significant scholar in Translation Studies, particularly in German-Spanish translation. Her research interests focus on Translation Studies, Corpus Linguistics, Contrastive Linguistics, and specialized translation domains, particularly wine industry terminology. She has developed expertise in analyzing cultural references in translation, resultative constructions across languages, and the application of parallel corpora to translation research. Her publication record shows a consistent output since the late 1990s, with a notable increase in scholarly contributions from 2007-2021. Her work demonstrates a clear trajectory from foundational translation studies toward specialized corpus-based research, with increasing focus on domain-specific translation (particularly vitiviniculture) and methodological innovation in translator training. Translation practices on the euro|topics press roundup: a case study (2021) Parallel corpora in focus (2019) Learner corpora and creative writing in translation pedagogy (2016) German-Spanish contrastive studies using parallel corpora (2011-2018) Wine industry terminology and cultural references in translation (2013-2015) Sánchez Nieto's research methodology combines corpus linguistics with practical translation challenges, often employing action research approaches to develop innovative translator training methods. Her work bridges theoretical translation studies with practical applications in specialized domains, making significant contributions to both academic knowledge and professional translation practice.

• Chinese Language Teaching
• International Business
• Language Education

Zhihang Qin is a Lecturer at ESCI - UPF International Business School, Pompeu Fabra University, teaching Chinese language courses in the Bachelor’s Degree in International Business and Marketing program. With six years of international teaching experience across the Dominican Republic and Australia, he employs a dynamic methodology incorporating games, videos, and music to transform language learning into an engaging experience. Education Graduated in International Chinese Teaching from Heilongjiang University Research and Teaching Focus His expertise centers on Chinese Language Teaching within international business contexts, emphasizing practical language acquisition through immersive techniques. He specializes in developing foundational to advanced communication skills for formal and informal scenarios, with strong integration of cultural elements in pedagogy. Academic Contributions Qin teaches two core courses: Chinese I (41023, 12 ECTS) covering basic vocabulary, grammar, and comprehension skills, and Chinese II (42023, 12 ECTS) focusing on intermediate/advanced language production. Both courses are delivered bilingually in Chinese/Catalan/Spanish within the International Business curriculum, prioritizing real-world application through interactive classroom methodologies.

• Language Education
• International Business
• Marketing
• +1 more

Marion Davaud serves as a Lecturer at Pompeu Fabra University's School of International Studies (ESCI-UPF), teaching French language courses within the Bachelor’s Degree in International Business and Marketing program. Her academic focus centers on language pedagogy in global business contexts, with primary research interests including: Language Education methodology International Business communication Marketing linguistics French language acquisition She specializes in developing foundational French competencies for business applications, emphasizing vocabulary, grammar, and cross-cultural communication skills for formal and informal professional settings.

• French Language Teaching
• Foreign Language Acquisition
• Communicative Language Pedagogy
• +2 more

Aurélie Volsy serves as a Lecturer at ESCI-UPF, Pompeu Fabra University, teaching French language courses for the Bachelor’s Degree in International Business and Marketing program. Her position focuses on delivering foundational French vocabulary and grammar instruction within this English-taught degree. Her professional expertise centers on French language pedagogy for non-native speakers, developed through 18+ years of experience since 2006. Drawing from her theatrical background and cultural project work, she implements dynamic classroom methodologies emphasizing communicative competence, active listening, and cultural exchange. This approach fosters practical language application in both formal academic and informal professional contexts. Ms. Volsy’s teaching philosophy integrates performance techniques to create immersive learning environments, prioritizing student engagement and real-world communication skills development across diverse learner demographics from childhood through professional adulthood.

• Machine Learning
• Data Analytics
• Artificial Intelligence
• +3 more

Maria-Cristina Marinescu serves as a Lecturer in the Department of Mathematics and Data Analytics at IQS School of Management. With a strong foundation in computational methods and data analysis, she contributes significantly to both teaching and research within the institution. Her academic profile demonstrates consistent scholarly activity with 44 documented scientific production items spanning over two decades. Dr. Marinescu's research interests center on Machine Learning, Data Analytics, and Artificial Intelligence, with notable applications in epidemic modeling, wireless sensor networks, and programming models. Her work bridges theoretical computer science with practical applications addressing real-world challenges in public health, digital well-being, and medical diagnostics. The fingerprint analysis of her work shows strong emphasis on Machine Learning (100%), Learning Systems (100%), and Transportation Models (100%), with substantial contributions to Programming Models (84%) and Wireless Sensor Networks (77%). Her recent publications reveal a trend toward interdisciplinary research that combines computational methods with societal challenges. She has made significant contributions to epidemic modeling during the COVID-19 pandemic, developing methods for accurate incidence rate estimation in Spain and analyzing information gains from multiple epidemic model outputs. Additionally, her work extends to medical applications including research on ocular ischemia and glaucoma, as well as innovative approaches to automated metadata annotation using machine learning techniques. Dr. Marinescu actively leads and participates in multiple research projects including Uncovering patterns of unconscious reactions to fake content (as Principal Investigator), MobilePressure (focused on reducing children's smartphone exposure), and ADAMIQS: Applied Data Analytics and Modelling IQS . These projects demonstrate her commitment to addressing contemporary issues through data-driven approaches while mentoring students and collaborating with interdisciplinary research teams.

• Japanese Language
• Linguistics
• Language Education
• +2 more

Akiko Imoto serves as a Lecturer at the School of International Business (ESCI-UPF) within Pompeu Fabra University, Barcelona, teaching Japanese language courses in the Bachelor's Degree in International Business and Marketing program. Education: Bachelor's degree in Japanese Studies from Aoyama Gakuin University, Japan Diploma in Hispanic Studies from Universitat de Barcelona Master of Advanced Study in Linguistics and Communication from Universitat de Barcelona Research and Teaching Focus: Her expertise centers on Japanese language pedagogy with emphasis on practical business communication. She develops foundational language skills through structured vocabulary and grammar instruction, targeting both formal professional and informal social contexts. Her approach integrates linguistic theory with real-world application, prioritizing oral comprehension, written production, and cross-cultural competence essential for international business environments. Professional Background: Born in Osaka and raised in Tokyo, Imoto worked as a radio producer in Japan before relocating to San Sebastián in February 1991 and subsequently to Barcelona later that year. This extensive bilingual and bicultural experience directly informs her teaching methodology within Spain's multilingual academic setting.

José Luis Alonso BerrocalView profile

Professor

• Information Retrieval
• Web Cybermetrics
• Digital Libraries
• +5 more

Professor José Luis Alonso Berrocal is affiliated with the University of Salamanca, where he works in the Department of Computer Science and Automation within the Faculty of Engineering. His research spans information systems, web technologies, and educational applications of computer science. Dr. Berrocal earned his PhD from the University of Salamanca with a thesis titled "Cibermétricos. Análisis de los dominios web españoles" (2001), supervised by Dr. Luis Carlos García de Figuerola Paniagua. His academic journey has positioned him at the intersection of computer science and information systems. His research interests focus on Information Retrieval , Web Cybermetrics , Digital Libraries , and Educational Technology . Dr. Berrocal has made significant contributions to understanding web structure, information retrieval systems, and the application of technology in education. His work often bridges theoretical computer science with practical applications in academic and research settings. Analysis of his publication history shows a consistent focus on information retrieval systems and web analysis techniques. His early work centered on foundational tools like SACARINO (a web crawling and processing system), while more recent research examines the structure of institutional websites, particularly in biomedical research centers. He has explored both theoretical aspects of information retrieval and practical implementations using libraries like Lucene. Active researcher in the SOCIOLOGICAL ANALYSIS GROUP Member of the UNIVERSITY INSTITUTE FOR SCIENCE AND TECHNOLOGY STUDIES PhD School affiliation: Logic and Philosophy of Science

María Luisa Pérez DelgadoView profile

Professor

• Programming Languages
• Systems Engineering
• Artificial Intelligence
• +4 more

María Luisa Pérez Delgado serves as a Full Professor in the Department of Computer Science and Automation at the University of Salamanca, specializing in the academic area of Computer Languages and Systems. Her institutional presence is anchored through the university's research infrastructure and doctoral programs. Education : PhD in Computer Engineering from the University of Salamanca (2001), thesis titled "Self-organizing trait maps and the traveling salesman problem" supervised by Dr. Quintín Martín Martín. Research Focus : Her scholarly work centers on foundational computing disciplines with emphasis on Programming Languages and Systems Engineering . As an active member of the CIMET Research Group, she contributes to interdisciplinary explorations spanning Artificial Intelligence , Automation , computational Mathematics , and Educational Technology , particularly examining intersections between information systems and pedagogical frameworks. Awards & Recognition : No scientific awards or honors are documented in the provided institutional records. Mentorship & Resources : Current documentation lacks specifics regarding graduate student supervision or externally funded research projects. Her collaborative efforts are channeled through the CIMET Research Group's multidisciplinary framework.